Adding upstream version 115.7.0esr.upstream/115.7.0esr

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 80 insertions, 0 deletions

diff --git a/toolkit/components/telemetry/docs/collection/custom-pings.rst b/toolkit/components/telemetry/docs/collection/custom-pings.rst
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+.. _submitting-customping:
+
+=======================
+Submitting custom pings
+=======================
+
+Custom pings can be submitted from JavaScript using:
+
+.. code-block:: js
+
+    TelemetryController.submitExternalPing(type, payload, options)
+
+- ``type`` - a ``string`` that is the type of the ping, limited to ``/^[a-z0-9][a-z0-9-]+[a-z0-9]$/i``.
+- ``payload`` - the actual payload data for the ping, has to be a JSON style object.
+- ``options`` - optional, an object containing additional options:
+   - ``addClientId``- whether to add the client id to the ping, defaults to ``false``
+   - ``addEnvironment`` - whether to add the environment data to the ping, defaults to ``false``
+   - ``overrideEnvironment`` - a JSON style object that overrides the environment data
+
+``TelemetryController`` will assemble a ping with the passed payload and the specified options.
+That ping will be archived locally for use with Shield and inspection in ``about:telemetry``.
+If preferences allow the upload of Telemetry pings, the ping will be uploaded at the next opportunity (this is subject to throttling, retry-on-failure, etc.).
+
+.. important::
+
+    Every new or changed data collection in Firefox needs a `data collection review <https://wiki.mozilla.org/Firefox/Data_Collection>`__ from a Data Steward.
+
+Submission constraints
+----------------------
+
+When submitting pings on shutdown, they should not be submitted after Telemetry shutdown.
+Pings should be submitted at the latest within:
+
+- the `observer notification <https://developer.mozilla.org/docs/Observer_Notifications#Application_shutdown>`_ ``"profile-before-change"``
+- the :ref:`AsyncShutdown phase <AsyncShutdown_phases>` ``sendTelemetry``
+
+There are other constraints that can lead to a ping submission getting dropped:
+
+- invalid ping type strings.
+- invalid payload types: E.g. strings instead of objects.
+- oversized payloads: We currently only drop pings >1MB, but targeting sizes of <=10KB is recommended.
+
+Tools
+=====
+
+Helpful tools for designing new pings include:
+
+- `gzipServer <https://github.com/mozilla/gzipServer>`_ - a Python script that can run locally and receives and saves Telemetry pings. Making Firefox send to it allows inspecting outgoing pings easily.
+- ``about:telemetry`` - allows inspecting submitted pings from the local archive, including all custom ones.
+
+Designing custom pings
+======================
+
+In general, creating a new custom ping means you don't benefit automatically from the existing tooling. Further work is needed to make data show up in re:dash or other analysis tools.
+
+In addition to the `data collection review <https://wiki.mozilla.org/Firefox/Data_Collection>`__, questions to guide a new ping design are:
+
+- Submission interval & triggers:
+   - What events trigger ping submission?
+   - What interval is the ping submitted in?
+   - Is there a throttling mechanism?
+   - What is the desired latency? (submitting "at least daily" still leads to certain latency tails)
+   - Are pings submitted on a clock schedule? Or based on "time since session start", "time since last ping" etc.? (I.e. will we get sharp spikes in submission volume?)
+- Size and volume:
+   - What’s the size of the submitted payload?
+   - What's the full ping size including metadata in the pipeline?
+   - What’s the target population?
+   - What's the overall estimated volume?
+- Dataset:
+   - Is it opt-out?
+   - Does it need to be opt-out?
+   - Does it need to be in a separate ping? (why can’t the data live in probes?)
+- Privacy:
+   - Is there risk to leak PII?
+   - How is that risk mitigated?
+- Data contents:
+   - Does the submitted data answer the posed product questions?
+   - Does the shape of the data allow to answer the questions efficiently?
+   - Is the data limited to what's needed to answer the questions?
+   - Does the data use common formats? (i.e. can we re-use tooling or analysis know-how)